Semantic representation and outlier detection for airport surface trajectory

An airport surface semantic path representation and an outlier taxiing pattern detection method for airport operation management, semantic conversion is realized based on dynamic features in an aircraft taxiing process, and after combining with surface map topology information, an airport surface aircraft semantic path representation is obtained; road segment geographic information is used to allocate a road segment weight to improve a longest common sub-sequence method, thereby constructing a flight path similarity matrix and using hierarchical clustering to realize surface taxiing pattern recognition; finally, by calculating the internal similarity of the identified patterns, the maximum outlier for identifying outlier patterns is obtained; after calculating the similarity between subsequent input flight paths and each pattern, as well as comparing a corresponding outlier with the maximum reachable outlier, the prewarning of outlier flight paths is achieved, the safety of surface management is ensured, and the effective surface control is realized.